Electronic device and document classification method

Abstract

In a document classification method being executed by a processor of an electronic device, documents to be classified and categorical descriptions of the documents are received. Each document is classified into one or more categories according to a similarity between the document and each category specified in the categorical descriptions. The one or more categories into which each document is classified are outputted to an output device.

What is claimed is: 
     
         1 . A document classification method being executed by a processor of an electronic device, the method comprising:
 (a) receiving a plurality of documents and categorical descriptions of the documents, the categorical descriptions specifying one or more attributes of subject matters of the documents and one or more categories corresponding to each attribute;   (b) classifying each document into one or more categories according to a similarity between the document and each category specified in the categorical descriptions; and   (c) outputting the one or more categories of each document to an output device.   
     
     
         2 . The method of  claim 1 , wherein (b) comprises:
 (b1) extracting core terms of the documents and core terms of the categorical descriptions;   (b2) constructing a term-document matrix of the documents according to the core terms of the documents, and obtaining a concept matrix of the documents in a concept space according to the term-document matrix;   (c) determining a vector of each category specified in the categorical descriptions in the concept space according to the core terms of the categorical descriptions, and determining a vector of each document in the concept space from the concept matrix; and   (c) classifying each document into one or more categories according to a similarity between the vector of each category specified in the categorical descriptions and the vector of the document.   
     
     
         3 . The method of  claim 2 , wherein the document is classified into a category upon condition that the similarity between the vector of the category and the vector of the document is greater than a preset value. 
     
     
         4 . The method of  claim 2 , wherein the similarity is a cosine value of an angle between the vector of the category and the vector of the document. 
     
     
         5 . The method of  claim 1 , wherein the one or more categories of each document are outputted in a form of a document classification table. 
     
     
         6 . An electronic device, comprising:
 at least one processor; and   a storage system storing a computer-readable program comprising a plurality of instructions, which when executed by the at least one processor, causes the at least one processor to perform operations comprising:   (a) receiving a plurality of documents and categorical descriptions of the documents, the categorical descriptions specifying one or more attributes of subject matters of the documents and one or more categories corresponding to each attribute;   (b) classifying each document into one or more categories according to a similarity between the document and each category specified in the categorical descriptions; and   (c) outputting the one or more categories of each document to an output device.   
     
     
         7 . The electronic device of  claim 6 , wherein operation (b) comprises:
 (b1) extracting core terms of the documents and core terms of the categorical descriptions;   (b2) constructing a term-document matrix of the documents according to the core terms of the documents, and obtaining a concept matrix of the documents in a concept space according to the term-document matrix;   (c) determining a vector of each category specified in the categorical descriptions in the concept space according to the core terms of the categorical descriptions, and determining a vector of each document in the concept space from the concept matrix; and   (c) classifying each document into one or more categories according to a similarity between the vector of each category specified in the categorical descriptions and the vector of the document.   
     
     
         8 . The electronic device of  claim 7 , wherein the document is classified into a category upon condition that the similarity between the vector of the category and the vector of the document is greater than a preset value. 
     
     
         9 . The electronic device of  claim 7 , wherein the similarity is a cosine value of an angle between the vector of the category and the vector of the document. 
     
     
         10 . The electronic device of  claim 6 , wherein the one or more categories of each document are outputted in a form of a document classification table. 
     
     
         11 . A non-transitory computer-readable storage medium storing a set of instructions, the set of instructions capable of being executed by a processor of an electronic device to implement a document classification method, the method comprising:
 (a) receiving a plurality of documents and categorical descriptions of the documents, the categorical descriptions specifying one or more attributes of subject matters of the documents and one or more categories corresponding to each attribute;   (b) classifying each document into one or more categories according to a similarity between the document and each category specified in the categorical descriptions; and   (c) outputting the one or more categories of each document to an output device.   
     
     
         12 . The storage medium of  claim 11 , wherein (b) comprises:
 (b1) extracting core terms of the documents and core terms of the categorical descriptions;   (b2) constructing a term-document matrix of the documents according to the core terms of the documents, and obtaining a concept matrix of the documents in a concept space according to the term-document matrix;   (c) determining a vector of each category specified in the categorical descriptions in the concept space according to the core terms of the categorical descriptions, and determining a vector of each document in the concept space from the concept matrix; and   (c) classifying each document into one or more categories according to a similarity between the vector of each category specified in the categorical descriptions and the vector of the document.   
     
     
         13 . The storage medium of  claim 12 , wherein the document is classified into a category upon condition that the similarity between the vector of the category and the vector of the document is greater than a preset value. 
     
     
         14 . The storage medium of  claim 12 , wherein the similarity is a cosine value of an angle between the vector of the category and the vector of the document. 
     
     
         15 . The storage medium of  claim 11 , wherein the one or more categories of each document are outputted in a form of a document classification table.